blob: f7f5988a79dad03a878dd6a7117b517edadf2edb (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
|
%global _empty_manifest_terminate_build 0
Name: python-dsatools
Version: 0.1.95
Release: 1
Summary: The library with a most popular tools for Digital Signal Analysis (DSA)
License: MIT
URL: https://github.com/MVRonkin/dsatools
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/14/bc/c9eb25de43bb15c492045d651b310c50a3a7b275576c3cf104bc67bb9637/dsatools-0.1.95.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-scipy
Requires: python3-matplotlib
%description
Digital Signal Analysis (DSA) library for python.
The library includes such methods of signal analysis and
signal parameter estimation as arma-based techniques;
subspace-based techniques; matrix-pencil-based methods;
singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD);
empirical mode decomposition; variational mode decomposition;
empirical wavelet transform; Hilbert vibration decomposition
and many others.
%package -n python3-dsatools
Summary: The library with a most popular tools for Digital Signal Analysis (DSA)
Provides: python-dsatools
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-dsatools
Digital Signal Analysis (DSA) library for python.
The library includes such methods of signal analysis and
signal parameter estimation as arma-based techniques;
subspace-based techniques; matrix-pencil-based methods;
singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD);
empirical mode decomposition; variational mode decomposition;
empirical wavelet transform; Hilbert vibration decomposition
and many others.
%package help
Summary: Development documents and examples for dsatools
Provides: python3-dsatools-doc
%description help
Digital Signal Analysis (DSA) library for python.
The library includes such methods of signal analysis and
signal parameter estimation as arma-based techniques;
subspace-based techniques; matrix-pencil-based methods;
singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD);
empirical mode decomposition; variational mode decomposition;
empirical wavelet transform; Hilbert vibration decomposition
and many others.
%prep
%autosetup -n dsatools-0.1.95
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-dsatools -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.95-1
- Package Spec generated
|
